The document discusses the future of citizen media (CiM) and summarizes several key points:
1) CiM is focusing more on long-term processes rather than isolated events through narrowing the bandwidth over time to add richness and using full spectrums to provide context.
2) New technologies like crowdsourcing are enabling crisis mapping, early warning systems, and massive data analytics through sites like Ushahidi, SwiftRiver, and TomNod.
3) Open data initiatives, interactive timelines, word clouds, and infographics are adding value by visualizing information.
4) However, new challenges are emerging like "filter bubbles" where algorithmic personalization may limit exposure
2. Focus on process, not just spikes
Narrow band over time adds richness, full spectrum adds context
Local language(s)
Culture
Local actors
Diaspora
Hagiography and myth
Identity and power
Partisan politics
Regional power blocs
Inequity
Demographics (Youth)
Civic media
Verbal storytelling
11. Detecting Emergent Conflicts through Web Mining and Visualization
http://irevolution.files.wordpress.com/2011/10/detecting-emergent-conflicts-through-web-mining-and-visualization.pdf
12. Ushahidi Swiftriver
• Ushahidi SwiftRiver | http://ushahidi.com/products/swiftriver-platform
SwiftRiver is a platform that helps people make sense
of a lot of information in a short amount of time.
In practice, SwiftRiver enables the filtering and
verification of real-time data from channels like
Twitter, SMS, Email and RSS feeds.
http://www.youtube.com/watch?v=Tb0Gs7vtrgk
29. CiM drivers from other domains
• Music industry (pattern based search, e.g. Pandora’s technical + human indexing), social
networking (group collaboration,e.g. LinkedIn, Facebook), social networking search (e.g.
Grepling), mobile phone apps (e.g. Guardly), marketing engines (e.g. adaptive persuasion
profiling), digital forensics (e.g. hyperspectral imaging with UAVs), ground truth profiling (e.g.
UNOSAT images on Sri Lanka) many sourcing for situational awareness (e.g. Microsoft
Photosynth), Open Data Initiatives (e.g. British, US govt’s, World Bank), visualisation (e.g.
Infomous)
31. filter bubbles
• "A Squirrel Dying In Your Front Yard May Be More Relevant To Your Interests Right Now Than
People Dying In Africa", Mark Zuckerberg, creator of Facebook
• Human gatekeepers being replaced by algorithmic gatekeepers.
http://www.ted.com/talks/eli_pariser_beware_online_filter_bubbles.html
• A new, pervasive, almost invisible, systemic filtering?
32. filtering to counter filter bubbles
• Ushahidi SwiftRiver | http://ushahidi.com/products/swiftriver-platform
SwiftRiver is a platform that helps people make sense
of a lot of information in a short amount of time.
In practice, SwiftRiver enables the filtering and
verification of real-time data from channels like
Twitter, SMS, Email and RSS feeds.
http://www.youtube.com/watch?v=Tb0Gs7vtrgk